ESTIMATION OF NITROGEN CONTENT IN SOYBEAN USING REMOTE SENSING

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SHAKI F.; BERNARD F.; DARVISHZADEH R.; DASHTI AHANGAR A.

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Journal: Physical Geography Research Year:2013 | Volume:45 | Issue:2 (84) Page(s): 109-124

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Title

ESTIMATION OF NITROGEN CONTENT IN SOYBEAN USING REMOTE SENSING

Author(s)

SHAKI F. | BERNARD F. | DARVISHZADEH R. | DASHTI AHANGAR A. | Issue Writer Certificate

Keywords

NITROGENQ2

PERSULFATE METHODQ2

VEGETATION INDICESQ2

SOYBEANQ2

TM SENSORSQ2

Abstract

Chemical concentration of plants is indicator of their biologic status. Among the many foliar chemicals in plants, NITROGEN (N) is an important indicator of photosynthetic rate and overall nutritional status. Plants usually take up NITROGEN in the nitrate form (NO3-) and one major source of nitrate leaching is fertilizer applied to the crops. Supplying inadequate N may decrease crop yields and increase the N fertilizer (more than the needs of plants). In addition to economic loss, nitrate ions may move into surface and ground water and contribute to eutrophication of lakes and streams and raise health problem (Liaghat and Balasundram 2010). Thus estimation of NITROGEN content is important in many agricultural studies.Traditionally leaf NITROGEN content is measured in the lab using different chemical methods. NITROGEN analysis either by the Kjeldahl or Dumas method is expensive and requires specialized equipments. An alternative method for N determination is the digestion of potassium persulfate (K2S2O8). Persulfate digestion requires only a modest initial investment and has few environmental risks. The common problems of all above mentioned approaches are the facts that they are time consuming, expensive and destructive approaches. The advent of remote sensing has proved its usefulness as an alternative measure to these traditional approaches.The aim of this study is to estimate canopy NITROGEN content in vast area in northern part of Iran, Gorgan, using remote sensing VEGETATION INDICES. Later it was used in calibration of different VEGETATION INDICES and for estimation of CNC of a vast area in Gorgan, Iran.

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APA: Copy

SHAKI, F., BERNARD, F., DARVISHZADEH, R., & DASHTI AHANGAR, A.. (2013). ESTIMATION OF NITROGEN CONTENT IN SOYBEAN USING REMOTE SENSING. PHYSICAL GEOGRAPHY RESEARCH QUARTERLY, 45(2 (84)), 109-124. SID. https://sid.ir/paper/138820/en

Vancouver: Copy

SHAKI F., BERNARD F., DARVISHZADEH R., DASHTI AHANGAR A.. ESTIMATION OF NITROGEN CONTENT IN SOYBEAN USING REMOTE SENSING. PHYSICAL GEOGRAPHY RESEARCH QUARTERLY[Internet]. 2013;45(2 (84)):109-124. Available from: https://sid.ir/paper/138820/en

IEEE: Copy

F. SHAKI, F. BERNARD, R. DARVISHZADEH, and A. DASHTI AHANGAR, “ESTIMATION OF NITROGEN CONTENT IN SOYBEAN USING REMOTE SENSING,” PHYSICAL GEOGRAPHY RESEARCH QUARTERLY, vol. 45, no. 2 (84), pp. 109–124, 2013, [Online]. Available: https://sid.ir/paper/138820/en

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